DocumentCode :
3573117
Title :
A HAZOP based model for safety management risk assessment in petrochemical plants
Author :
Sifeng Jing ; Xiwei Liu ; Changjian Cheng ; Xiuqin Shang ; Gang Xiong
Author_Institution :
Beijing Eng. Res. Center of Intell. Syst. & Technol., Inst. of Autom., Beijing, China
fYear :
2014
Firstpage :
3551
Lastpage :
3555
Abstract :
To identify specific safety management vulnerabilities that lead to deviations and failure of safeguards, a safety management risk assessment model is proposed in this paper. Firstly, accident cases happened in a petrochemical plant from 2000 to 2013 are analyzed. The indirect common causations of accidents are found and chosen as risk analysis factors. Then, the actual process of safety management is investigated, and the main framework of risk assessment is made. Finally, the model is built based on parallel management theory, accident causation theory and classic HAZOP technical. And targeted measures of such vulnerabilities is made. Compared with classic HAZOP technical, the model has advantages in searching for risks from technical and managerial two levels. The method provides a new way for the safety management objectives of changing “accident handling, postmortem prevention” to “intrinsic safety, advance prevention” in petrochemical plant.
Keywords :
accident prevention; industrial plants; occupational safety; petrochemicals; risk analysis; HAZOP-based model; accident cases; accident causation theory; accident handling; accident indirect common causation; advance prevention; classic HAZOP technical; intrinsic safety; parallel management theory; petrochemical plants; postmortem prevention; risk analysis factors; safeguard failure; safety management process; safety management risk assessment; safety management risk assessment model; specific safety management vulnerability; Accidents; Automation; Control systems; Intelligent control; Petrochemicals; Risk management; Safety; HAZOP technical; accident causation theory; management risk assessment; parallel management; petrochemical plant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053306
Filename :
7053306
Link To Document :
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